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This study presents the development and implementation of an Automated Waste Segregation System using Arduino Uno R3, aimed at enhancing waste management efficiency by segregating dry and wet waste materials.The system was developed and tested using moisture sensors, infrared obstacle avoidance photoelectric sensors, jumper wires, servo motors, cardboard, storage boxes, and breadboards through an applied research design.A total of 20 participants participated in the survey to evaluate the system's effectiveness and usability, providing valuable feedback for refinement.Results indicate that the system effectively segregates waste materials, demonstrating its potential for promoting sustainability in waste management practices.The Infrared Obstacle Avoidance Photoelectric Sensor and the Moisture Sensor can efficiently identify and segregate waste.Through experimentation, it was observed that the automated system effectively segregated dry and wet waste with higher accuracy and efficiency than manual segregation methods.The findings indicate that the automated system consistently sorted waste into appropriate categories, minimizing human error and ensuring proper waste management.This suggests that using Arduino Uno R3 for waste segregation can improve waste sorting processes, contributing to more sustainable and environmentally friendly practices in waste management systems.Future researchers are recommended to include further refinement of the system's features and scalability and explore additional functionalities to optimize waste segregation processes.This study contributes to advancing sustainable waste management practices through innovative technological solutions.
Tan et al. (Tue,) studied this question.